Employer Industry
Data Technology Solutions
Why consider this job opportunity
- Opportunity for career advancement and growth within the organization
- Flexible work‑from‑home policy
- Generous Paid Time Off (PTO) policy and Unplugged Days to support work‑life balance
- Comprehensive benefits and competitive compensation packages
- Access to continued career development and mental & physical wellness programs
- Paid volunteer time to encourage community involvement
What to Expect (Job Responsibilities)
- Work on large‑scale, distributed systems to enhance the Hive ecosystem and drive innovation
- Design and develop features for parallel and distributed query engines within Cloudera Data Platform (CDP)
- Focus on query optimization, performance, and scalability of SQL queries
- Write design documentation for key features and capabilities
- Improve code quality through writing tests, automation, and code reviews
What is Required (Qualifications)
- Bachelor’s or Master’s degree in Computer Science or equivalent, with 6 years of experience
- Experience with query optimization using tools like Apache Calcite
- Strong understanding of database internals, query processing, and SQL query optimization
- Proficiency in Java programming and strong data structures and algorithms skills
- Excellent oral and written communication skills
How to Stand Out (Preferred Qualifications)
- Experience contributing to open-source Apache projects like Hive, Impala, or Calcite
- Familiarity with the Hadoop ecosystem and file formats like Parquet and ORC
- Experience with public cloud infrastructures such as Microsoft Azure, Amazon Web Services, and Google Cloud Platform
- Recognized contributions to open-source projects